Journal articles: 'Investment Decisions Making' – Grafiati (2024)

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Decisions are made according to a complex cognitive and emotional evaluation of the situation. The aim of the paper is to examine the effect of mood on risky investment decision making by using a mood induction procedure. The paper investigates how happy and sad mood affects risky investment decision making and whether there is a difference between the perception of fix investments and monetary investments. The analysis has been conducted focusing on individual investment decisions. Data for the research comes from a laboratory experiment, where 166 participants in happy, sad and neutral mood, filled out a questionnaire of investment decisions. The results indicate that mood does affect investment decision making, and positive and negative mood might have similar effect on the investment decision.

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This study aims to analyze 1) whether there is an influence of financial literacy on investment decision maknig. 2) Obtain empirical evidence whether there is an Representativeness bias making on investment decisions. 3) Does Bias optimisme affect investment decision making. In this study using Causality Design. Population and sampek are 104 respondents registered in the Indonesia Stock Exchange Investment Gallery (GIBEI) Faculty of Economics, State University of Padang. The method of analysis is multiple linear regression. The results of the study found 1) Financial literacy influences investment decisions on investment decision making.2) Optimum bias affects investment decisions on investment decision making. 3) Representativness influences investment decisions on investment decision making. 4) Together financial literacy variables, the optimum bias and representativness together influence the investment decision on investment decision making

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Individual fishermen make investment decisions in an environment which is competitive and highly variable from season to season. Extensive variability means that economic survival must be a primary consideration in the investment decision process. In this paper, fishermen's investment decisions are modelled as a probabilistic dynamic programming problem in discrete time. Fishermen are assumed to make rational decisions based on income expectations and subject to survivability conditions to maximize the net worth of the fishing enterprise at the end of a finite planning horizon. The formal analysis of the investment model is presented and the model is applied to trailer fishermen of the British Columbia commercial fishing fleet. The results present an accurate picture of actual investment decisions and provide valuable insights into the behavioral basis of investment decision making by fishermen. Understanding the investment decisions of fishermen has implications for planning and regulation in fisheries: insights gained into the key factors provide the basis for the development of strategic long-term policies that anticipate fishermen's behavior. The consequences will be a movement away from reactive, short-term policies which have characterized fisheries regulation to date.

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Individual investments behaviour is concerned with choices about purchases of small amounts of securities for his or her own account. Decision tools often support investment decisions. It is assumed that information structure and the factors in the market systematically influence individuals’ investment decisions as well as market outcomes. Decision tools often support investment decisions. It is assumed that information structure and the factors in the market systematically influence individuals’ investment decisions as well as market outcomes. Investor market behaviour derives from psychological principles of decision making to explain why people buy or sell stocks. These factors will focus upon how investors interpret and act on information to make investment decisions. The purpose of the study was to identify the factors that influence investment decision making among potential individual investors in Malaysia. Three behavioural factors might influence investment decision making which are accounting-information, firm-image coincidence and personal-financial-needs. A set of questionnaire was distributed to 384 potential investors in Malaysia specifically in housing area of Klang Valley as population of this study. Based on the findings, it showed that there is positive relationship between accounting-information, firm-image-coincidence and personal-financial-needs in investment decision making. Hence, between these three behavioural factors, accounting-information, firm-image coincidence and personal-financial-needs, the main influential factor is accounting-information. This study also proposed a future research for investment decision making and give implications to the potential investors, community, organization, policy makers and investment practitioners.

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Purpose This study aims to make investment decisions in stock markets using forecasting-Markowitz based decision-making approaches. Design/methodology/approach The authors’ approach offers the use of time series prediction methods including autoregressive, autoregressive moving average and artificial neural network, rather than calculating the expected rate of return based on distribution. Findings The results show that using time series prediction methods has a significant effect on improving investment decisions and the performance of the investments. Originality/value In this study, in contrast to previous studies, the alteration in the Markowitz model started with the investment expected rate of return. For this purpose, instead of considering the distribution of returns and determining the expected returns, time series prediction methods were used to calculate the future return of each asset. Then, the results of different time series methods replaced the expected returns in the Markowitz model. Finally, the overall performance of the method, as well as the performance of each of the prediction methods used, was examined in relation to nine stock market indices.

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Purpose This study brings together cognitive and organizational aspects of the strategic investment decision-making process. It focuses on the early stages of strategic investment decision-making. This paper aims to augment the limitations of previous survey-based research through an archival case study that describes pre-decision screening in detail. Design/methodology/approach This paper draws on archival data covering an investment decision undertaken by a large brewing company. The data cover a period of about six years, focusing on the decision to invest in West Africa. A rational/intuitive orientation model of the process is used as a framework to help analyze the archival evidence. Findings Strategic investment decisions are non-programmed, complex and uncertain. For some companies (e.g. those with a strategic focus on new expansions), certain non-programmed decisions may become semi-programmed in the course of time by applying knowledge learned from having successfully handled non-programmed decision situations in the past. However, other companies without such a focus may not be able to programme part of their strategic decisions. Pre-decision control mechanisms constitute a form of strategic control by detecting potential problem areas in the investment option before formal approval. Research limitations/implications Given the narrow scope of this paper – a single case study – the findings are used for theorization rather than offering generalizable results. There is a need for unified models to enrich our understanding of the influence that contextual factors have on strategic investment decision-making. Effective strategic pre-decision control mechanisms that maintain a good balance between rational and intuitive approaches are matters that remain open for debate in future research. Practical implications Research on organizational and cognitive aspects of the strategic investment decision-making process is inherently practical. To achieve successful strategic investment decisions, it is essential to devote more attention to the choice and design of strategic control mechanisms. Originality/value The framework of this study can help practitioners to gauge the strengths and weaknesses of their decision-making practices. It focuses on three aspects that are relatively absent in the literature: the strategic problem, the strategic choice and the chronological relations between the five stages of the strategic investment decision-making process. The use of historical data is suited to providing illustrations of intuitive/heuristic-based practices that would otherwise be hard to capture.

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Abstract: This study seeks to explore the influence of culture on the investment decisions of Ghanaians. It is motivated by the perception that Ghanaians show no enthusiasm for long-term investments or life insurance products. To explore this problem, we used a random sampling, quantitative cross-sectional technique to administer a set of questionnaires to a cross-section of 120 Ghanaians residing in the City of Columbus, Ohio, U.S.A. Hofstede’s five cultural dimensions were used as the theoretical framework to guide the study. The results showed that Ghanaians prefer short-duration risk-free investments to long-duration risky investments. Ghanaian investors are not aggressive in gathering and analyzing financial information before making investment decisions. Their investment decisions are influenced by others, intuition, comfort and security, and their belief systems, rather than rational analysis of information, and risk-reward relationships derived from financial models. The use of intuition and information passed on from relatives, family members and others in making investment decisions paves the way for cultural factors to influence investment decisions. We conclude that cultural values have significant influence on the investment decisions of Ghanaians. The study seeks to motivate investors to examine and broaden their cultural awareness to enable them to develop financial plans to achieve their investment goals. We recommend that to overcome negative cultural influence on investment decision making, financial education should be vigorously pursued to broaden financial literacy.

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Investment decisions are among the most important decisions growers make. In many cases, those investments are in capital assets such as establishing a new orchard or purchasing a new piece of equipment. The process for evaluating those investments is called investment analysis or capital budgeting. This 4-page fact sheet written by Julio Cruz and Ariel Singerman and published by the UF/IFAS Food and Resource Economics Department reviews net present value and the internal rate of return, the two main criteria for decision making when evaluating a decision to invest in a capital asset. https://edis.ifas.ufl.edu/fe1060

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Rapid development of financial markets resulted new challenges for both investors and investment issues. This increased demand for innovative, modern investment and portfolio management decisions adequate for market conditions. Financial market receives special attention, creating new models, includes financial risk management and investment decision support systems.Researchers recognize the need to deal with financial problems using models consistent with the reality and based on sophisticated quantitative analysis technique. Thus, role mathematical modeling in finance becomes important. This article deals with various investments decision-making models, which include forecasting, optimization, stochatic processes, artificial intelligence, etc., and become useful tools for investment decisions.

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: Investment decision making is a complex process that includes analysis of several factors and follows various steps. The purpose of this study is to identify factors that influence investment decision making among potential individual investors in Indonesia. Four behavioral factors can influence investment decision making, namely Financial literacy, financial experience, locus of control and experience regret A set of questionnaires were distributed to 420 individual stock investors to measure their investment decisions. The results of this study indicate that financial literacy, locus of control, and financial experience have a positive relationship with their investment decisions, while the Regret experience has a negative relationship with their investment decisions. This study provides information that can help guide future research and help formulate policy-makers as well as educate on the factors that can influence investors' decisions.

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Introduction. Constant changes in economic and political situation create more stringent conditions for the survival of modern businesses while requiring effective management of the enterprise’s life cycle and also investing in a simple and expanded reproduction of fixed assets. An enterprise like any socio-economic organism needs constant development, growth and renewal, only these conditions ensure its competitiveness. Theoretical and methodological aspects of selection and evaluation of the investment decisions’ efficiency are constantly the focus of scientific world attention. However, it should be noted, the issues of choosing the most rational ways and stages of making an effective investment decision to manage the reproduction of fixed assets of the enterprise are not thoroughly studied, thus, they need further efforts to develop new proposals to improve their quality and prevent possible risks. Purpose. The purpose of the article is to study the factors and stages of making the appropriate investment decision to reproduce fixed assets with efficient use of resources. Results. The aspects of effective investment decision making for reproduction of fixed assets management are researched. It is proved that the attraction of sources of financing investment decisions is influenced by objective and subjective factors. The stages of making an investment decision in order to select the optimal sources of financing of the investment project are substantiated. It is found that the decision on the reproduction of the enterprise’s fixed assets should be comprehensive and aimed at both tangible and intangible components. Conclusions. Use of managerial approach in the process of reproduction of fixed assets investment lets making effective investment decision, which is implemented through some stages with appropriate methodological support. Taking into account the objective and subjective factors influencing the efficiency of the investment decision will help to avoid difficulties in managing the reproduction of fixed assets in the long run. The choice of financing source for an investment project is the most important management decision. The decision to reproduce the fixed assets of the enterprise should be comprehensive and aimed at both tangible and intangible components. The managerial decision may be considered as effective if it is directed to achieve the resource efficiency, obtained as a result of development and implementation of the investment decisions, where financial and material investments, qualified personnel, etc. can act as resources. This requires making and implementation of such decisions by qualified managers provided that the sequence of the stages would be followed, including collection of information, decision-making and ensuring effective implementation of the investment decision. Keywords: fixed assets; investment; reproduction; efficiency; management.

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The investment decision Process varies from one individual to another and from one country to another respectively. These decisions are usually taken based on either a Conventional basis or linked to the sentimental side of investors and reflected through behavioral finance gateway, where biases and psychological side of investors control their way of thinking and affect their investment decisions endlessly. Furthermore, based on previous literature the majority of investors tend to incorporate both gateways during their investment process as they don’t depend solely on Conventional gate, but their psychological part appears to play a big role while deciding and similarly for Lebanon. However, the main aim of this paper lies in investigating the main factors from both gates triggering Lebanese individual investors’ decision-making during their investment process. Moreover, the empirical part lies on focusing on a bunch of samples from individual Lebanese investors distributed along with most Lebanese districts; where 211 complete responses are interpreted within the SPSS program, undergoing factor analyses and Regression models. Results obtained indicates that Lebanese individual investors tend to incorporate both gateways in their investments decision, where the main goal stays utility and profit maximization; that to say tending to seek profits regardless of the investment field and approach. Nevertheless, during seeking profits Lebanese investor is being exposed to certain behavioral errors and biases that appear to impact and control his decisions significantly during investment making the process so far, and theses biases are affecting the Lebanese individual investors clearly more than that of conventional ones.

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Purpose – The purpose of this paper is to investigate property investment decision making by Australian REITs. Design/methodology/approach – Through an extensive literature review, a normative model of the property investment decision-making process is proposed. Based on semi-structured interviews with senior Australian REIT decision makers, a descriptive model of the property investment decision-making process by Australian REITs is developed. The normative model and descriptive model are compared and a prescriptive model of the Australian REIT property investment decision-making process proposed. Findings – With the four stage, 20-step process proposed in the normative model found to be generally supported by the descriptive model developed, this may potentially comprise an effective prescriptive model for the Australian REIT property investment decision-making process. Research limitations/implications – Further research is required to investigate if the prescriptive model is generalisable across other property investment decision-making groups or over time and whether it may lead to “good” decisions. Practical implications – The prescriptive model proposed may contribute consistency and transparency to the decision-making process, if adopted by Australian REITs, potentially leading to better decisions. Social implications – Greater consistency and transparency in property investment decision making by Australian REITs may lead to the optimal allocation of capital and greater investor confidence in the sector. Originality/value – The findings comprise the first prescriptive model of the Australian REIT property investment decision-making process, forming a basis for comparative investigation of that process adopted by other property investment decision-making groups.

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Purpose This paper aims to clarify the mechanism by which heuristics influences the investment decisions of individual investors, actively trading on the Pakistan Stock Exchange (PSX), and the perceived efficiency of the market. Most studies focus on well-developed financial markets and very little is known about investors’ behaviour in less developed financial markets or emerging markets. The present study contributes to filling this gap in the literature. Design/methodology/approach Investors’ heuristic biases have been measured using a questionnaire, containing numerous items, including indicators of speculators, investment decisions and perceived market efficiency variables. The sample consists of 143 investors trading on the PSX. A convenient, purposively sampling technique was used for data collection. To examine the relationship between heuristic biases, investment decisions and perceived market efficiency, hypotheses were tested by using correlation and regression analysis. Findings The paper provides empirical insights into the relationship of heuristic biases, investment decisions and perceived market efficiency. The results suggest that heuristic biases (overconfidence, representativeness, availability and anchoring) have a markedly negative impact on investment decisions made by individual investors actively trading on the PSX and on perceived market efficiency. Research limitations/implications The primary limitation of the empirical review is the tiny size of the sample. A larger sample would have given more trustworthy results and could have empowered a more extensive scope of investigation. Practical implications The paper encourages investors to avoid relying on heuristics or their feelings when making investments. It provides awareness and understanding of heuristic biases in investment management, which could be very useful for decision makers and professionals in financial institutions, such as portfolio managers and traders in commercial banks, investment banks and mutual funds. This paper helps investors to select better investment tools and avoid repeating expensive errors, which occur due to heuristic biases. They can improve their performance by recognizing their biases and errors of judgment, to which we are all prone, resulting in a more efficient market. So, it is necessary to focus on a specific investment strategy to control “mental mistakes” by investors, due to heuristic biases. Originality/value The current study is the first of its kind, focusing on the link between heuristics, individual investment decisions and perceived market efficiency within the specific context of Pakistan.

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The article discusses the directions of innovation and investment development of the strategic, system-forming, enterprises of the Samara Region, which were determined on the basis of an analysis of information about the real situation (20182020) and the planned future (from 2021), obtained as a result of a questionnaire survey of managers about the directions of investment, criteria for making investment decisions, as well as the strategic goals of investment plans. The analysis of investment directions was carried out, on the basis of which the types of investment activity of enterprises were identified as active, proactive and passive. Criteria for making investment decisions are considered, on the basis of which the types of investment behavior of enterprises were divided into leader behavior associated with the economic justification of investment decisions, and follower behavior characterized by an empirical decision rule. The average values of the investment projects characteristics the payback period of investments, the excess of the rate of return over the loan rate, and the discount rate required for making a decision on investment, as well as the volumes of investment projects in different periods are given. On the basis of the investment objectives considered, three types of strategies of system-forming enterprises are formulated: aggressive, moderate and conservative. Based on the analysis of the results of the survey, the features of innovative activity, as well as the directions and prerequisites for the innovative development of the Samara Region strategic enterprises are determined.

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The study explores the impact of investor’s sentiments on individual investment decision making in the stock exchange of Pakistan. It illustrate a broad range of factors that are usually unseen during the decision making process although the fact that they have a huge influence on their course of action. There are number of factors that are the cause of investor’s overall attitude and sentiments. These factors like religion, overconfidence, affect heuristics, demographic variables etc. Some of these factors impact negatively on an investment decision of an investor but at the same time others could help the investor to make logical and rational decisions. It is an exertion to enhance investors understanding about the factors that could stay away his/her vital investment decisions towards irrational decisions. Primary data is use to conduct the present study. Questionnaire is used to gather data from respondents. Sample size consists of 200 stock investors and brokers from Islamabad Stock Exchange. Convenience sampling technique is used, E-Views is used as statistical tool to test hypothesis. Regression analysis shows that overconfidence, religion has significant relationship with investment decision. While affect heuristics have insignificant relationship with investment decision. Demographic is taken as moderator variable.

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Purpose The purpose of this paper is to identify and rank critical factors influencing investment decisions of venture capitalists. Design/methodology/approach To identify and prioritize factors affecting investment decisions of venture capitalists, a two-phase methodology was adopted: in the first phase, critical factors influencing venture capitalists’ investment decisions were identified using exploratory factor analysis; the second phase entailed the use of a multi-criteria decision-making technique – analytical hierarchal process (AHP) which involved assigning weights to, and prioritizing the identified criteria and sub-criteria. Findings Seven factors were found to significantly influence investment decisions of venture capitalists: entrepreneur’s characteristics, product or services, market characteristics, management skills, financial consideration, economic environment and institutional and regulatory environment. Findings revealed that entrepreneur’s characteristics, financial consideration and product or services were prime influencers of venture capitalists’ investment decisions. Research limitations/implications As for limitations, first, the study considers limited number of factors influencing investment decisions of venture capitalists; there may be other influencers not considered in this study. Second, the AHP methodology assumes that the various decision-making criteria and sub-criteria are independent of each other; in real life, there may be inter-dependency among criteria. Third, the hierarchal model has been tested in the Indian venture capital industry only, and generalizability of results with respect to other industries is questionable. Practical implications The present study identifies and ranks seven factors found to significantly influence investment decisions of venture capitalists. Venture capitalists could use this list of factors as a guideline before making investment decisions, and if considering all factors is not possible, take into account the factors given top rank so that they arrive at informed and intelligent decisions. Originality/value This study is the first to identify economic factors (economic environment and institutional & regulatory environment) as influencers of venture capitalists’ investment decisions. Further, no study in the past has attempted to rank or prioritize factors influencing venture capitalists’ investment decisions; this is the first attempt of the kind.

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Purpose The Securities Exchange Commission mandated eXtensible Business Reporting Language (XBRL) filing data provide immediate availability and easy accessibility for both academics and practitioners. To be useful, this data should provide information for decisions, specifically, investment decisions. The purpose of this study is to examine whether the XBRL database can be used with models, developed in previous studies, predicting the directional movement of earnings. The study does not attempt to examine the validity of these models, but only the ability to use the data in the analysis of financial statements based on these models. Design/methodology/approach The study analyzes New York Stock Exchange companies’ XBRL data using a two-step logistic regression model. The model is then used to arrive at the directional movement of earnings between current and subsequent quarters. Additional models are created by dividing the sample into industry membership. Findings The results classified companies as realizing an increase or a decrease in earnings. The final model indicated a significant ability to predict earnings changes, on average about 65 per cent of the time, for the entire model, and 71 per cent, for the industry-based models (higher than those of previous studies based on COMPUSTAT). The investment strategy created average quarterly return between 2.8 and 10.7 per cent. Originality/value The originality of this study is in the way it examines the quality of XBRL data, by examining whether findings from prior research which relied on traditional databases (such as COMPUSTAT) still hold using XBRL data. The use of XBRL allows not only easier and less-costly access to the data but also the ability to adjust the models almost immediately as current information is posted, thus providing a much more relevant tool for investors, especially small investors.

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Purpose- This study proposes to identify the certain biases affecting investor decision-making and to segment investors accordingly. Design/Methodology- A quantitative research method was applied to measure the existence and impact of the biases on investment decision-making. A survey was administered among the stock market investors in Uttar Pradesh. Factor analysis was used to extract those biases that significantly impact investment decision-making and their mean score to assess the level of agreement that affects their investment decisions. Findings - The finding reveals that eight extracted factors affect the investment decisions and accordingly segment them on the biases they exhibit. The investors tend to fall into Imitator, Stereotypical, Independent Individualist, Risk Intolerant, Efficient Planner, Confident, Passive, and Competent Confirmer. The Imitators, Independent Individualists, and Confident investors show their higher level of agreement that highly affects their equity investment decision-making. Practical Implication- This study provides a base to segment the investors on their biases. In addition, it will help in customizing the investment recommendation based on their biases to improve the investment decisions.

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This paper examines the nexus between behavioural bias and investment decisions in a developing country context. Specifically, this study tests the effect of four behavioural biases (overconfidence, regret, belief, and “snakebite”) on investment decisions. Descriptive statistics and inferential statistics including multiple regression are used to examine the behavioural biases-investment decisions nexus. The study reveals that the four bias have a significant positive and robust relationship with investment decision making. The result also shows that the "snakebite" effect contributes more to the decision making, followed by belief bias then regret bias. Overconfidence bias, however, contributes the least effect on investment decisions. Our contribution confirms the prospect theory and that behavioural bias influences investment decisions in the developing country perspective. 

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Projects in accommodation enterprises need to be planned very attentively. A great number of criteria used in selecting facility location contradict each other in some cases. Such criteria must be used in a significant way, due to the fact that difficulties can be encountered in making decisions in this complex process. "Multi-Criteria Decision Making" (MCDM) methods have been developed to help individuals, businesses, and institutions to make investment decisions and to decide more accurate and profitable investments. AHP, TOPSIS, VIKOR, PHOMETHEE, ELECTRE are some of these methods. Via these methods developed, investment decisions are made by evaluating complex data with many alternatives objectively. This may lead to more accurate investment decisions made by entrepreneurs. With this study, we have dwelled on the methods used by investors in location as well as MCDM methods, which will bring about solutions to qualitative and quantitative problems, which need to be measured and discussed in details.

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When considering oil and gas developments in Australia, it is worthwhile to consider what's at risk. This extended abstract considers oil and gas investment decision-making from a first-principles basis, introducing case studies and learnings from past projects. Additionally, investment decisions can examined from the following perspectives: Setting the mould—decisions crystalise risk; therefore, decision quality is paramount. How do investment decisions serve as expression of corporate risk appetite? What is observable at the time versus what may lay silent? Too big to fail—can the organisation withstand the risk profile of its chosen investment slate? Is the owner or joint-venture structure sufficiently resilient to undertake the set of activities in question (e.g. deep-water drilling or LNG project developments)? Management charge—leadership and management motivations may drive projects into risky territory; are the appropriate feedback mechanisms in place? Dealing with complexity—project execution plans, layers and sub-contracting require formal and informal communication and governance to ensure successful delivery. Has complexity been dealt with? Or does structure mask hidden risk? Addressing human factors—human interaction and project organisational structures may drive perverse outcomes. What allowance and process reviews and assures against human motivation and influence? This extended abstract frames investment decision-making and project execution using practical examples, and shows how investment-decision quality is a primary driver of shareholder wealth creation. This has implications for the stage-gate capital processes, governance structures, and investment review practices presently in place in the industry.

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Slow current modernization reforms in the economic sector have significantly weakened the competitiveness of enterprises in EU; therefore, there is a great need for new tools in the managerial decision-making process. Information provision of the decision-making process on expediency of investment activity in the form of capital investments is formed within thelimits of strategic management accounting. In the research except for various analytical methods (analysis, synthesis, comparison, grouping, etc.) a “decisions tree” method is used for choosinga reasonable solution. In the study, strategic management accounting has been defined as a separate kind of management accounting, which involves generation of high-quality information. Certain tools may be applied within it for the decisions made by managers, based on established business partnership with successful implementation of business strategy. Five most widespread groups of tools of strategic management accounting are cost accounting; planning, monitoringand evaluation of effectiveness; strategic decisions; competitor accounting; customer accounting.It is recommended to complete the list of instruments integrated within the five groupsby a separate group – a specific category of supplier accounting that would contribute to the generation of more complete and qualitative information provision for the process of making managerial decisions on the appropriateness of capital investments in the investment activityof the enterprise in EU. The research made it possible to reach the following conclusions. Important components should be taken into account in order to fulfil strategic management accountingof the company in a proper way. Those are data sources choice, collecting and processing of information, choice of instruments of strategic management accounting, formation of internal regulation of strategic management accounting, development and supply of accountingand analytical information; process of solutions development, and the choice, which canprovide generation of necessary information for competitive managerial decisions made by managers. Application of advanced tools for strategic management accounting, which give information to meet issues related to the characteristics of consumers, competitors, suppliers, project costs, assessment of investment feasibility in the project, is caused by the necessity of competitive decision-making with the help of the above-offered decisions tree tool usage

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This study examines Behavioral Factors and Investment Decision Making in the Nigerian Stock Exchange (NSE). Thus, the research question is what are the psychological factors affecting investment decisions in the Nigerian capital market. A structured questionnaire was used in collecting data and it was able to collect data from 75 investors with the application of a convenient sampling method. Using overconfidence bias, availability bias, conservatism, and herding effect to define the most important behavioral element affecting investment decision making by investors in the Nigerian. Multiple regression analysis was used as the key methodological method for evaluating the research hypothesis, whereas the internal consistency of the questionnaire calculated from Cronbach's alpha on all variables showed values greater than 0.7 with a sufficient level of reliability. The primary beneficiary group would be the buyers on the stock market who would be educated enough about the effect of their own behavioral influences on their stock market decision making. The knowledge would be useful in making optimal investment decisions and avoiding unfavorable decisions to increase their resources. In turn, it will be helpful to policymakers and stock market regulators to help them understand the position of behavioral influences inherited in consumer decision-making and that may be associated with the need for stock market brokers to update their customer's trading practices to a higher level. The findings of this study suggest that overconfidence, availability bias, and herding impact demonstrated a positive significant relationship with NSE investment decision-making except conservatism which showed a negative relationship with investment decision-making but at 0.01 levels statistically significant. On the basis of the results, it can be generalized that the most prevalent factors affecting investor investment decision taking in NSE are overconfidence, availability bias, and herding influence.

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Prospect theory proposes that framing effects result in a preference for risk-averse choices in gain situations and risk-seeking choices in loss situations. However, in group polarization situations, groups show a pronounced tendency to shift toward more extreme positions than those they initially held. Whether framing effects in group decision making are more prominent as a result of the group-polarization effect was examined. Purposive sampling of 120 college students (57 men, 63 women; M age = 20.1 yr., SD = 0.9) allowed assessment of relative preference between cautious and risky choices in individual and group decisions. Findings indicated that both group polarization and framing effects occur in investment decisions. More importantly, group decisions in a gain situation appear to be more cautious, i.e., risk averse, than individual decisions, whereas group decisions in the loss situation appear to be more risky than individual decisions. Thus, group decision making may expand framing effects when it comes to investment choices through group polarization.

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Purpose The purpose of this paper is to investigate the property investment decision-making process of Australian unlisted property funds. Design/methodology/approach Drawing on previous research into property investment decision making by Australian REITs, a normative model of the unlisted property fund investment decision-making process is proposed. Based on exploratory investigation through semi-structured interviews with senior Australian unlisted property fund decision makers, a descriptive model of the property investment decision-making process by Australian unlisted property funds is developed. The normative model and descriptive model are compared and a prescriptive model of the Australian unlisted property fund investment decision-making process proposed. Findings A four-stage, 20-step process proposed in the normative model was found to be generally supported by the descriptive model developed, potentially comprising a possible prescriptive model for the Australian unlisted property fund investment decision-making process. Research limitations/implications Further research is required to investigate risk-return issues, whether the prescriptive model is generalisable across other property investment decision-making groups or over time and whether it may lead to “good” decisions. Practical implications The prescriptive model proposed may contribute consistency and transparency to the decision-making process, if adopted by Australian unlisted property funds, potentially leading to better decisions. Social implications Greater consistency and transparency in property investment decision making by Australian unlisted property funds may lead to the optimal allocation of capital and greater investor confidence in the sector. Originality/value The findings comprise the first possible prescriptive model of the Australian unlisted property fund investment decision-making process, forming a basis for comparative investigation of that process adopted by other property investment decision-making groups such as Australian REITs and Australian retail property funds.

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The current stage of global development is characterized by opportunities for investment activity, along with an instability of the economic situation and high uncertainty, dictates the need for investors and managers to make effective decisions, taking into account constantly changing conditions. An investor, while making a decision which project to accept, for the most part, uses the standard methods of financial management as a basis for forecasting and analysis. Considering fast-moving processes of technology change, as well as the conditions of market uncertainty, significant risk and agency problems, the article proposes the use of real options as an insurance (hedging) tool for investors against risks at different stages of the investment project. Risk management can be carried out through real options - the tool of flexibility in decision making. Traditional assessment methods ignore the ability to adapt internal and external changes, however management flexibility can significantly reduce risks, and therefore create additional value.

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This paper looks at the financing of commercial film projects in Japan. A scientific approach is used to quantify the factors that film producers and investors use to make investment decisions regarding film projectsa process that was previously unarticulated. The result of this research is the creation of the A-MPM (Amasakalabs Movie Projects Performance Model), a shared decision-making model for film project investment that aims to promote quality investment decisions and support partnerships between film producers and investors during the subsequent process of filmmaking.

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In this study, we investigated the factors that influence investor's propensity to invest which called investment behavior. Factors known to have an impact on individual investment decisions are psychological and cognitive errors, socioeconomic and environmental factors, and financial, economic and environmental factors. Among those factors, financial and environmental factors including the level of knowledge in terms of financial economy, harmonization of income and expenditure, and liquidity constraints are empirically investigated. Among the personal factors the liquidity constraints has been turned out to have significant impact on decision-making about investments. The findings that liquidity constraints have an impact on the investment behavior and there are differences between investment behaviors according to the purposes of investment, and the liquidity constraints has impact on them have significant meanings. Generally, investment behaviors are kinds of inherent characteristics, in other words, hard to be changed or affected. But the study results indicate that investment behaviors can be affected personal economic conditions. So, when advices or consulting regarding investments is made, not only the person’s investment behavior but also the person’s economic conditions, especially if the person is under liquidity constraints should be considered. Also, investors should take into accounts his or her economic conditions when making investment decisions.

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Indonesia is a country that has a fairly good level of investment from year to year, based on KSEI 2020 data. This indicates that Indonesia's business opportunities are quite promising. This increase in investment was also followed by technological developments in the financial sector as we know fintech. The results of this fintech product have been widely used by many groups, especially for investment activities. This is one of the driving points for increasing investment in Indonesia. In general, investments are usually made by people who have sufficient literacy skills. Because various experiences state that someone who has good financial literacy will be able to make good decisions in terms of finances that have both short and long term impacts. However, the current condition has a different pattern where even without financial literacy the cloud community is currently able to invest even if they only get a little information. This research was conducted to see and explain the phenomena that occurred and provide confirmation that the shift in perspective patterns occurred. The result of the research states that financial literacy does not influence a person in making decisions, while fintech is a factor that influences someone in making investment decisions.

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Abstract:

Indonesia is a country that has a fairly good level of investment from year to year, based on KSEI 2020 data. This indicates that Indonesia's business opportunities are quite promising. This increase in investment was also followed by technological developments in the financial sector as we know fintech. The results of this fintech product have been widely used by many groups, especially for investment activities. This is one of the driving points for increasing investment in Indonesia. In general, investments are usually made by people who have sufficient literacy skills. Because various experiences state that someone who has good financial literacy will be able to make good decisions in terms of finances that have both short and long term impacts. However, the current condition has a different pattern where even without financial literacy the cloud community is currently able to invest even if they only get a little information. This research was conducted to see and explain the phenomena that occurred and provide confirmation that the shift in perspective patterns occurred. The result of the research states that financial literacy does not influence a person in making decisions, while fintech is a factor that influences someone in making investment decisions.

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Background: At present, there is an urgent problem of renovation of rolling stock characterized by a high degree in Russia. The leading position in the country's transport system belongs to railway transport. In the context of declining demand for transportation investments in railcars, which represent a significant amount of capital investment, require reasonable management decisions. Aim: is to work out a decision-making model for renewal the transport organization's railway rolling stock. Methods: of technical, economic, investment and financial analysis, decision tree, graphical modeling, system approach. Results: The basic components of the decision-making model are determined. The key indicators of railway rolling stock renewal are defined, reflecting the criteria for making managerial decisions in the field of operational, investment and financial activities. A graphical model is proposed that interprets the decision support system for purchasing new railcars. Conclusion: Using the proposed model of decision-making in the field of renovation of rolling stock allows to transfer this process to a qualitatively new level, based on the results of an objective assessment of the current and forecast state of the management object according to various alternative scenarios and based on the selection of the rational decision by comparing the expected results for each of the considered alternatives and analysis degree of their compliance with the determined goals due to its versatility and complexity.

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This study aims to describe the effect of financial literacy in each generation group (Gen Z, Gen Y, Gen X, and Baby Boomers) in investment decision making. The method used in this research is quantitative descriptive. Respondents in this study were 137 investors who were members of the Indonesia Stock Exchange. Data collection was conducted in January 2020-February 2020. The results showed that the differences in financial literacy of each generation group had a significant influence on investment decisions. financial literacy and Investment experience is needed in the capital market in making investment decisions.

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PurposeThe purpose of this paper is to investigate differences in how men and women small- and medium-sized enterprise (SME) entrepreneurs make decisions regarding whether to invest in technologies for their firms. Answering recent calls for a gendered perspective in entrepreneurial decision-making, this study integrates premises from social identity theory and role congruity theory to help explain innovation investment decisions among male and female SME entrepreneurs.Design/methodology/approachUsing data from 121 SME entrepreneurs in the dry cleaning industry, the authors employ a conjoint experimental methodology to capture decisions SME entrepreneurs make to adopt or reject an environment-friendly dry cleaning technology. The authors examine the role gender, firm revenue, technology price, and technology complexity play in entrepreneur investment decisions.FindingsThe authors find that gender indirectly impacts innovation purchase decisions through interactions with firm revenue and key innovation characteristics. Women SME entrepreneurs were less likely to purchase the technology than their male counterparts at low (and high) firm revenue, high innovation price, and high innovation complexity—all highly risky, masculine, choice contexts.Research limitations/implicationsThese findings suggest that men and women's entrepreneurial investment decisions might be shaped by gender stereotypes. Future research should sample additional industries and determine the norms guiding gendered decision-making.Originality/valueBeyond the decision to launch a new venture, this multi-level analysis, using the lens of social identity and role congruity theories, helps illuminate how men and women SME entrepreneurs approach innovation investment decision-making in significantly different—and gender role consistent—ways.

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Decision-making in property investment by superannuation funds is an important investment decision, but it is different to their decision-making on other asset classes included in their asset portfolios. The large value and heterogeneous nature of individual pieces of real estate make the market for real estate relatively illiquid and subject to larger transaction costs than other asset classes. Based on interview surveys of Australian superannuation funds, using the analytical hierarchical process (AHP), we identified strategic decision-making as being the most important factor used by the superannuation funds when making decisions on the management of their property investment portfolio. Comments during the interviews indicated that their decisions were influenced by restrictions in their fund’s investment mandate and the level of funds that they had to invest. The AHP technique has allowed this research to provide a more in-depth understanding of the management of decision-making factors than previous surveys.

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The Investors’ rationality assumption of traditional finance theories has long been contested by behavioural finance over the past few decades. Various non-financial factors, responsible for shaping investors’ behaviour, including individual personality characteristics and the social environments surrounding the decisions to be made, have emerged in recent studies. With the advancement of behavioural finance, it is important to recuperate our understanding of how an individual’s personality make-up influences her susceptibility towards behavioural biases while making investment decisions. In this study, we explore the effect of the five personality traits on select behavioural biases (overconfidence, disposition and herding) in financial decision-making. A questionnaire comprising measures of personality traits, overconfidence and herding along with demographic variables was circulated to a representative sample (n=251) of Indian investors. Our findings suggest a significant impact of personality traits on the vulnerability of individuals while making investment decisions. Extrovert investors are more balanced, not overconfident, and do not follow the herd. Openness, extroversion, and agreeableness negatively impact the susceptibility of investors towards overconfidence and herding. The results can be used by financial advisors to develop personality specific financial tools to customise to the requirements of their clients. JEL Classification Codes: D14, D90, D91, G11.

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This study aims to examine the effect of financial literacy and demographic factors on investment decision making, the research method used is a survey with a quantitative approach, using a sample of 100 students on the STIE Wikara Campus. The data analysis technique used is Multiple Regression Analysis. The results showed that financial literacy has a significant effect on investment decision making, or has a significant role on formation in investment decision making, and motivation has a significant effect on decision making on investment or has a role on decision making on investment. Other findings of this study are attitude and motivation has a significant effect on investment decision making. This shows that the attitude and motivation will provide indirect experience to someone in terms of investment decision making, because at least a person or student who has financial literacy and demographic factors will tend to influence higher investment decisions than students who do not have financial literacy in investing

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The purpose of the study was to develop a methodological toolkit for the substantiation of investment decisions on supporting regional environmental projects by state and private investors. The problem lies in the fact that traditional indicators of the efficiency of investment projects, such as net present value, budgetary efficiency, currently do not sufficiently meet the principles of sustainable economy, which underlie modern methodology for managerial decision making. The study of the opinions of investors shows their increasing willingness to take into account, when making investment decisions and decisions on financing projects, not only the economic efficiency, but also the impact of the results of companies’ activities on the environment and human health. At the same time, the question of how to take into account ESG factors (environment, social, governance) in the assessment of investment decisions remains controversial. The authors suggest a methodology that will contribute to the justification of management decisions regarding the support and stimulation of investment eco-projects. The method assumes a sequential passage of stages, at each stage the projects undergo an assessment procedure for compliance with the criteria that take into account the interests of various project stakeholders (government, investors, society) and the calculation of ratings: the rating of ESG factors and the rating of economic efficiency of eco-projects. The authors have also developed a matrix for managerial decision making to support an investment eco-project based on the analysis of the ratings obtained. The proposed conceptual approaches and models make it possible to clarify the methodological tools for effectiveness assessment of eco-projects, contribute to the improvement of the theory and practice of financial management, harmonization of ESG principles and investment management, adequate to the conditions of the concept of sustainable economic growth.

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The concept of possibilistic mean value and variance of fuzzy numbers has been applied to investment decisions by using a nonlinear type of fuzzy numbers called adaptive fuzzy numbers. In this paper, by extending the notion of adaptive fuzzy number, we propose a more flexible methodology. Our aim is to allow decision maker more flexibility in dealing with ambiguity and uncertainty. To illustrate the use of our approach and its ability in dealing with ambiguity and imprecision we analyze, as an application, the fuzzy net present value of future cash flows and give some numerical results.

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Individual investor’s behavior is extensively influenced by various biases that highlighted in the growing discipline of behavior finance. Therefore, this study is also one of another effort to assess the impact of behavioral biases in investment decision-making in National Stock Exchange. A questionnaire is designed and through survey responses collected from 243 investors. The present research has applied inferential statistics and descriptive statistics. In the existing study, four behavioral biases have been reviewed namely, overconfidence, anchoring, disposition effect and herding behavior. The results show that overconfidence and herding bias have significant positive impact on investment decision. Overall results conclude that individual investors have limited knowledge and more prone towards making psychological errors. The findings of the study also indicate the existence of these four behavioral biases on individual investment decisions. This study will be helpful to financial intermediaries to advice their clients. Further, study can be elaborated to study other behavioral biases on investment decisions.

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To evaluate the investment decisions of new energy vehicle enterprises scientifically and reasonably and improve the investment efficiency and accuracy of decision-makers, this paper proposes an investment decision method based on interval intuitionistic fuzzy sets. In the investment decision-making process of new energy vehicle enterprises, first, based on the characteristics of new energy vehicle enterprise investment projects, an index system is constructed to comprehensively cover the influencing factors of investment decisions. Second, we obtain the interval fuzzy number of the decision index through a questionnaire survey, use the structural entropy method to empower decision indicators, and comprehensively evaluate the decision index by the organic combination of the interval-valued intuitionistic fuzzy weighted averaging (IIFWA) operator and structural entropy method. Finally, interval BPA is used to express the value of each decision index interval intuitionistic fuzzy number. Based on the conversion relationship between interval evidence and the intuitionistic fuzzy set, the orthogonal sum operation results of the intuitionistic fuzzy set converted from the normalized interval BPA is replaced by the interval evidence combination result, and the final decision is determined by comparing the fusion result. Applying the investment decision method based on interval intuitionistic fuzzy sets to the field of new energy vehicle investment decision-making can provide a reference for investment decision-makers to make efficient and accurate decisions, and it has application value and practical significance to promote the effective development of new energy investment decisions.

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The pulp and paper industry relies heavily on the traditional discounted cash flow-based net present value (DCF-NPV) for making capital investment decisions. The deficiency of the DCF-NPV model is that it is static; once a pattern of cash flow is established, management does not have the option to change the direction when new information is available. However, flexibility to alter the investment decision is a powerful strategic and capital investment tool. Abundant research has established strong precedence for applications of “real options” in operational and strategic settings to provide useful insights in the evaluation of irreversible investments under uncertainty. The binomial or Black-Scholes option pricing model (OPM) for strategic planning and capital investment has been used in many other industries but not in the pulp and paper industry. The pulp and paper industry, though very capital intensive, has provided poor to moderate return on investment or return on capital and has never used the OPM and the flexibility it offers for capital investment decisions. This paper makes a case for using OPM for capital investment decisions by using the example of a hypothetical North American mill considering investments to modernize its papermaking operation.

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This study aims to examine the effect of risk perception, risk tolerance, overconfidence, and loss aversion on investment decision making. The sample in this study were workers in Surabaya and Jombang, East Java. There were 400 respondents taken using a questionnaire through the survey method. This study used PLS-SEM (Partial Least Square-Structural Equation Model) as a data analysis technique. The results showed that risk perception has a significant and negative effect on investment decision making, risk tolerance and overconfidence have a significant and positive effect on investment decision making, while loss aversion has no effect on investment decision making. This research is expected to provide an overview of how to deal with risk in investment and how to avoid behavioral biases in investment decisions making.